Analytics vs Data Science

The lines between analytics and data science can definitely be very blurry. Different companies might call the same position by two different names, but at their core, they do have some differences.
Below is an infographic from the faculty of the Online MS in Analytics at American University. I think the infographic is accurate.

In my opinion, a true data scientist should spend more time creating and programming new algorithms while a business analyst should spend more time applying existing algorithms.

A couple of notes

Years of Education are not much different, but the academic disciplines are very different. Data Scientists tend to have degrees with more rigorous mathematical training. For me, this is the biggest differentiator.

It appears financial institutions prefer business analysts while the government and colleges prefers data scientists

Surprisingly, Business analyst jobs are projected to grow faster than data scientists (27% to 15%), not sure I totally agree with that!

Martin,
I think I would agree with you, but unfortunately that data is not included in the infographic. Here is a page that provides some data to go along with your impression. https://datajobs.com/big-data-salary

“As of 2016, entry level salary for a data analyst ranges from $50,000 to $75,000 and for experienced data analysts it is between $65,000 to %110,000.

The median salary for data scientists is $113,436. Average Data scientist salary in US or Canada is $122K while data science managers leading the data science team at an organization earn an average of $176K.”